Cardiology
AI/ML applications in CV diagnosis and prognosis
Emerging evidence with 69 primary claims
Non-invasive imaging as the cornerstone of cardiovascular precision medicine
European Heart Journal - Cardiovascular Imaging — Achenbach S — Dec 2021
An integration of hybrid MCDA framework to the statistical analysis of computer-based health monitoring applications
Frontiers in Public Health — Wang H — Jan 2024
Engineered immune-driven theranostics for clinical cardiology
Military Medical Research — Li X — Nov 2025
Nutrition, atherosclerosis, arterial imaging, cardiovascular risk stratification, and manifestations in COVID-19 framework: a narrative review
Frontiers in Bioscience-Landmark — Munjral S — Nov 2021
An Ultra-Low Power Reconfigurable Biomedical AI Processor With Adaptive Learning for Versatile Wearable Intelligent Health Monitoring
IEEE Transactions on Biomedical Circuits and Systems — Liu J — May 2023
Atrial Fibrillation Detection on the Embedded Edge: Energy-Efficient Inference on a Low-Power Microcontroller
Sensors — Akbari Y — Oct 2025
Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM)
Revista do Colégio Brasileiro de Cirurgiões — Coronel B — Jan 2023
Deep Learning in Cardiology
IEEE Reviews in Biomedical Engineering — Dec 2018
Automatic detection of vessel structure by deep learning using intravascular ultrasound images of the coronary arteries
PLoS ONE — Shinohara H — Aug 2021
Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality
BMC Medical Informatics and Decision Making — Andonov D — Apr 2023
Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database
Annals of Nuclear Medicine — Nakajima K — Mar 2018
AI Accelerator With Ultralightweight Time-Period CNN-Based Model for Arrhythmia Classification
IEEE Transactions on Biomedical Circuits and Systems — Lee S — Jul 2024
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Artificial intelligence in cardiology (also known as AI cardiology, machine learning cardiovascular, deep learning ECG). AI/ML applications in CV diagnosis and prognosis
As of 2026-08-14, the scientific consensus on Artificial intelligence in cardiology is emerging. Emerging evidence with 69 primary claims Based on 69 analyzed claims across Synapse's enriched corpus, the evidence shows.
This evidence brief synthesizes Synapse's enriched cardiology corpus; cite as synapsesocial.com/topics/artificial-intelligence-in-cardiology.
Deterministic synthesis from Synapse's enriched corpus — 64 words. No AI-generated novel content; every figure is sourced from the underlying paper, guideline, or trial record linked on this page.
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